Neuromorphic chips that use spikes to encode information could provide fast and energy-efficient computing for ubiquitous embedded systems. A bio-plausible spike-timing solution for training spiking neural networks that makes the most of sparsity is implemented on the BrainScaleS-2 hardware platform.

中文翻译：

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稀疏性提供了竞争优势

使用尖峰信号编码信息的神经形态芯片可以为无处不在的嵌入式系统提供快速和节能的计算。在 BrainScaleS-2 硬件平台上实现了一种生物合理的尖峰定时解决方案，用于训练尖峰神经网络，最大限度地利用稀疏性。